{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Donchian_Channel_Break\n",
    "高低点突破策略\n",
    "\n",
    "Buy when today's high > high of the past 40 days\n",
    "\n",
    "Sell short when today's low < low of the past 40 days\n",
    "\n",
    "Exit longs when today's low < low of the past 20 days\n",
    "\n",
    "Exit shorts when today's high > high of the past 20 days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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jwdD1VN99WOLh1fS8saDv+5vEQuHxNPfhx2UMkrlq1SrF3NxcadasmdKsWTNl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\nVxfEYM3CaPx0sgnechHyk4NwrLwDbT0qLMkIRXSwJ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znY2b6Qm76h6JHXEQyS9evX88IL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HKNM80D5Fycz/PmeJsHOPM9gItBY2Mje/bsYc2aNaxZs4aGhgbWrVtHOBymubmZ1atXA7By\n5cphx6ZMmcLTTz+NbdssWrRoaF+RyEhyjTOA5uZmLr/88nwOX8aJ84mzl19+mdtvv52CgoJ8XoKM\nA2cbZyLnI9c4u/nmm3nqqadobGykurqaK664YpRHLuNJrnF2zz33aB4gZ+18njfH2zxAbUY/JMf6\nZ8+aNYuioqJTHhM5H4ozGQ2KMxkNiikZDYozGQ2KMxkNF2ucKUEhIiIiIiIiInmnGhQiIiIiIiIi\nkndKUIiIiIiIiIhI3ilBISIiIiIiIiJ5pwSFiIiIiIiIiOSdEhQiIiIiIiIiknf/D+y0pJ/C9+6n\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b09a400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "{'sys_analyser': {'benchmark_portfolio':               cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                   \n",
       "  2005-01-04  738.21      99261.79                  1.000    100000.00   \n",
       "  2005-01-05  738.21     100248.56                  1.000    100986.77   \n",
       "  2005-01-06  738.21      99300.17                  1.010    100038.38   \n",
       "  2005-01-07  738.21      99379.96                  1.000    100118.17   \n",
       "  2005-01-10  738.21     100381.88                  1.001    101120.09   \n",
       "  2005-01-11  738.21     100711.14                  1.011    101449.35   \n",
       "  2005-01-12  738.21     100671.75                  1.014    101409.96   \n",
       "  2005-01-13  738.21     100684.88                  1.014    101423.09   \n",
       "  2005-01-14  738.21      99819.31                  1.014    100557.52   \n",
       "  2005-01-17  738.21      97712.45                  1.006     98450.66   \n",
       "  2005-01-18  738.21      98443.69                  0.985     99181.90   \n",
       "  2005-01-19  738.21      97688.21                  0.992     98426.42   \n",
       "  2005-01-20  738.21      96581.25                  0.984     97319.46   \n",
       "  2005-01-21  738.21      99242.60                  0.973     99980.81   \n",
       "  2005-01-24  738.21     100811.13                  1.000    101549.34   \n",
       "  2005-01-25  738.21     100775.78                  1.015    101513.99   \n",
       "  2005-01-26  738.21      99982.93                  1.015    100721.14   \n",
       "  2005-01-27  738.21      98437.63                  1.007     99175.84   \n",
       "  2005-01-28  738.21      97890.21                  0.992     98628.42   \n",
       "  2005-01-31  738.21      96442.88                  0.986     97181.09   \n",
       "  2005-02-01  738.21      96550.95                  0.972     97289.16   \n",
       "  2005-02-02  738.21     101697.91                  0.973    102436.12   \n",
       "  2005-02-03  738.21     100315.22                  1.024    101053.43   \n",
       "  2005-02-04  738.21     102702.86                  1.011    103441.07   \n",
       "  2005-02-16  738.21     103381.58                  1.034    104119.79   \n",
       "  2005-02-17  738.21     103081.61                  1.041    103819.82   \n",
       "  2005-02-18  738.21     101612.06                  1.038    102350.27   \n",
       "  2005-02-21  738.21     103588.63                  1.024    104326.84   \n",
       "  2005-02-22  738.21     105720.74                  1.043    106458.95   \n",
       "  2005-02-23  738.21     105437.94                  1.065    106176.15   \n",
       "  ...            ...           ...                    ...          ...   \n",
       "  2016-10-21  738.21     336101.74                  3.359    336839.95   \n",
       "  2016-10-24  738.21     340125.58                  3.368    340863.79   \n",
       "  2016-10-25  738.21     340112.45                  3.409    340850.66   \n",
       "  2016-10-26  738.21     338834.80                  3.409    339573.01   \n",
       "  2016-10-27  738.21     337915.70                  3.396    338653.91   \n",
       "  2016-10-28  738.21     337353.13                  3.387    338091.34   \n",
       "  2016-10-31  738.21     336964.28                  3.381    337702.49   \n",
       "  2016-11-01  738.21     339264.05                  3.377    340002.26   \n",
       "  2016-11-02  738.21     336668.35                  3.400    337406.56   \n",
       "  2016-11-03  738.21     339873.08                  3.374    340611.29   \n",
       "  2016-11-04  738.21     338771.17                  3.406    339509.38   \n",
       "  2016-11-07  738.21     339015.59                  3.395    339753.80   \n",
       "  2016-11-08  738.21     340483.12                  3.398    341221.33   \n",
       "  2016-11-09  738.21     338658.05                  3.412    339396.26   \n",
       "  2016-11-10  738.21     342451.61                  3.394    343189.82   \n",
       "  2016-11-11  738.21     345139.22                  3.432    345877.43   \n",
       "  2016-11-14  738.21     346455.25                  3.459    347193.46   \n",
       "  2016-11-15  738.21     346416.87                  3.472    347155.08   \n",
       "  2016-11-16  738.21     346388.59                  3.472    347126.80   \n",
       "  2016-11-17  738.21     347090.54                  3.471    347828.75   \n",
       "  2016-11-18  738.21     345163.46                  3.478    345901.67   \n",
       "  2016-11-21  738.21     347552.11                  3.459    348290.32   \n",
       "  2016-11-22  738.21     350304.36                  3.483    351042.57   \n",
       "  2016-11-23  738.21     350947.73                  3.510    351685.94   \n",
       "  2016-11-24  738.21     352362.74                  3.517    353100.95   \n",
       "  2016-11-25  738.21     355651.30                  3.531    356389.51   \n",
       "  2016-11-28  738.21     357043.08                  3.564    357781.29   \n",
       "  2016-11-29  738.21     359968.04                  3.578    360706.25   \n",
       "  2016-11-30  738.21     357338.00                  3.607    358076.21   \n",
       "  2016-12-01  738.21     360069.04                  3.581    360807.25   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.009868  100000  \n",
       "  2005-01-06        1.000384  100000  \n",
       "  2005-01-07        1.001182  100000  \n",
       "  2005-01-10        1.011201  100000  \n",
       "  2005-01-11        1.014494  100000  \n",
       "  2005-01-12        1.014100  100000  \n",
       "  2005-01-13        1.014231  100000  \n",
       "  2005-01-14        1.005575  100000  \n",
       "  2005-01-17        0.984507  100000  \n",
       "  2005-01-18        0.991819  100000  \n",
       "  2005-01-19        0.984264  100000  \n",
       "  2005-01-20        0.973195  100000  \n",
       "  2005-01-21        0.999808  100000  \n",
       "  2005-01-24        1.015493  100000  \n",
       "  2005-01-25        1.015140  100000  \n",
       "  2005-01-26        1.007211  100000  \n",
       "  2005-01-27        0.991758  100000  \n",
       "  2005-01-28        0.986284  100000  \n",
       "  2005-01-31        0.971811  100000  \n",
       "  2005-02-01        0.972892  100000  \n",
       "  2005-02-02        1.024361  100000  \n",
       "  2005-02-03        1.010534  100000  \n",
       "  2005-02-04        1.034411  100000  \n",
       "  2005-02-16        1.041198  100000  \n",
       "  2005-02-17        1.038198  100000  \n",
       "  2005-02-18        1.023503  100000  \n",
       "  2005-02-21        1.043268  100000  \n",
       "  2005-02-22        1.064590  100000  \n",
       "  2005-02-23        1.061762  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        3.368400  100000  \n",
       "  2016-10-24        3.408638  100000  \n",
       "  2016-10-25        3.408507  100000  \n",
       "  2016-10-26        3.395730  100000  \n",
       "  2016-10-27        3.386539  100000  \n",
       "  2016-10-28        3.380913  100000  \n",
       "  2016-10-31        3.377025  100000  \n",
       "  2016-11-01        3.400023  100000  \n",
       "  2016-11-02        3.374066  100000  \n",
       "  2016-11-03        3.406113  100000  \n",
       "  2016-11-04        3.395094  100000  \n",
       "  2016-11-07        3.397538  100000  \n",
       "  2016-11-08        3.412213  100000  \n",
       "  2016-11-09        3.393963  100000  \n",
       "  2016-11-10        3.431898  100000  \n",
       "  2016-11-11        3.458774  100000  \n",
       "  2016-11-14        3.471935  100000  \n",
       "  2016-11-15        3.471551  100000  \n",
       "  2016-11-16        3.471268  100000  \n",
       "  2016-11-17        3.478287  100000  \n",
       "  2016-11-18        3.459017  100000  \n",
       "  2016-11-21        3.482903  100000  \n",
       "  2016-11-22        3.510426  100000  \n",
       "  2016-11-23        3.516859  100000  \n",
       "  2016-11-24        3.531010  100000  \n",
       "  2016-11-25        3.563895  100000  \n",
       "  2016-11-28        3.577813  100000  \n",
       "  2016-11-29        3.607063  100000  \n",
       "  2016-11-30        3.580762  100000  \n",
       "  2016-12-01        3.608073  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns], 'plots':             close   mid    up\n",
       "  date                         \n",
       "  2005-01-20   6.16   NaN   NaN\n",
       "  2005-01-21   6.01   NaN   NaN\n",
       "  2005-01-24   6.41   NaN   NaN\n",
       "  2005-01-25   6.47   NaN   NaN\n",
       "  2005-01-26   6.31   NaN   NaN\n",
       "  2005-01-27   6.30   NaN   NaN\n",
       "  2005-01-28   6.14   NaN   NaN\n",
       "  2005-01-31   6.17   NaN   NaN\n",
       "  2005-02-01   6.06   NaN   NaN\n",
       "  2005-02-02   6.09  5.85   NaN\n",
       "  2005-02-03   6.40  5.85   NaN\n",
       "  2005-02-04   6.31  5.85   NaN\n",
       "  2005-02-16   6.60  5.85   NaN\n",
       "  2005-02-17   6.59  5.85   NaN\n",
       "  2005-02-18   6.56  5.85   NaN\n",
       "  2005-02-21   6.60  5.85   NaN\n",
       "  2005-02-22   6.71  5.85   NaN\n",
       "  2005-02-23   6.74  5.85   NaN\n",
       "  2005-02-24   6.67  5.85   NaN\n",
       "  2005-02-25   6.63  5.85  6.77\n",
       "  2005-02-28   6.64  5.85  6.77\n",
       "  2005-03-01   6.48  5.85  6.77\n",
       "  2005-03-02   6.40  6.03  6.77\n",
       "  2005-03-03   6.38  6.03  6.77\n",
       "  2005-03-04   6.44  6.03  6.77\n",
       "  2005-03-07   6.36  6.03  6.77\n",
       "  2005-03-08   6.24  6.03  6.77\n",
       "  2005-03-09   6.35  6.03  6.77\n",
       "  2005-03-10   6.29  6.06  6.77\n",
       "  2005-03-11   6.16  6.09  6.77\n",
       "  ...           ...   ...   ...\n",
       "  2016-10-21   9.07  9.01  9.52\n",
       "  2016-10-24   9.13  9.01  9.52\n",
       "  2016-10-25   9.24  9.01  9.46\n",
       "  2016-10-26   9.21  9.01  9.46\n",
       "  2016-10-27   9.15  9.01  9.43\n",
       "  2016-10-28   9.16  9.01  9.43\n",
       "  2016-10-31   9.17  9.01  9.43\n",
       "  2016-11-01   9.15  9.01  9.43\n",
       "  2016-11-02   9.14  9.03  9.32\n",
       "  2016-11-03   9.07  9.03  9.30\n",
       "  2016-11-04   9.13  9.03  9.30\n",
       "  2016-11-07   9.11  9.03  9.30\n",
       "  2016-11-08   9.12  9.03  9.30\n",
       "  2016-11-09   9.15  9.03  9.30\n",
       "  2016-11-10   9.07  9.01  9.30\n",
       "  2016-11-11   9.14  9.01  9.30\n",
       "  2016-11-14   9.18  9.01  9.30\n",
       "  2016-11-15   9.22  9.01  9.30\n",
       "  2016-11-16   9.23  9.01  9.30\n",
       "  2016-11-17   9.23  9.01  9.30\n",
       "  2016-11-18   9.21  9.01  9.30\n",
       "  2016-11-21   9.18  9.01  9.30\n",
       "  2016-11-22   9.24  9.01  9.30\n",
       "  2016-11-23   9.36  9.01  9.36\n",
       "  2016-11-24   9.45  9.01  9.56\n",
       "  2016-11-25   9.47  9.01  9.56\n",
       "  2016-11-28   9.62  9.01  9.62\n",
       "  2016-11-29   9.63  9.01  9.78\n",
       "  2016-11-30   9.62  9.01  9.78\n",
       "  2016-12-01   9.55  9.01  9.78\n",
       "  \n",
       "  [2882 rows x 3 columns], 'portfolio':                   cash  market_value  static_unit_net_value  total_value  \\\n",
       "  date                                                                       \n",
       "  2005-01-04  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-05  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-06  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-07  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-10  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-11  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-12  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-13  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-14  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-17  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-18  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-19  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-20  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-21  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-24  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-25  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-26  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-27  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-28  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-01-31  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-01  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-02  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-03  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-04  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-16  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-17  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-18  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-21  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-22  100000.000         0.000                  1.000   100000.000   \n",
       "  2005-02-23  100000.000         0.000                  1.000   100000.000   \n",
       "  ...                ...           ...                    ...          ...   \n",
       "  2016-10-21   89200.765     83022.990                  1.717   172223.756   \n",
       "  2016-10-24   89200.765     84023.267                  1.722   173224.033   \n",
       "  2016-10-25   89200.765     83750.465                  1.732   172951.230   \n",
       "  2016-10-26   89200.765     83204.859                  1.730   172405.624   \n",
       "  2016-10-27   89200.765     83295.793                  1.724   172496.558   \n",
       "  2016-10-28   89200.765     83386.727                  1.725   172587.493   \n",
       "  2016-10-31   89200.765     83204.859                  1.726   172405.624   \n",
       "  2016-11-01   89200.765     83113.925                  1.724   172314.690   \n",
       "  2016-11-02   89200.765     82477.385                  1.723   171678.150   \n",
       "  2016-11-03   89200.765     83022.990                  1.717   172223.756   \n",
       "  2016-11-04   89200.765     82841.122                  1.722   172041.887   \n",
       "  2016-11-07   89200.765     82932.056                  1.720   172132.821   \n",
       "  2016-11-08   89200.765     83204.859                  1.721   172405.624   \n",
       "  2016-11-09   89200.765     82477.385                  1.724   171678.150   \n",
       "  2016-11-10   89200.765     83113.925                  1.717   172314.690   \n",
       "  2016-11-11   89200.765     83477.662                  1.723   172678.427   \n",
       "  2016-11-14   89200.765     83841.399                  1.727   173042.164   \n",
       "  2016-11-15   89200.765     83932.333                  1.730   173133.098   \n",
       "  2016-11-16   89200.765     83932.333                  1.731   173133.098   \n",
       "  2016-11-17   89200.765     83750.465                  1.731   172951.230   \n",
       "  2016-11-18   89200.765     83477.662                  1.730   172678.427   \n",
       "  2016-11-21   89200.765     84023.267                  1.727   173224.033   \n",
       "  2016-11-22   89200.765     85114.479                  1.732   174315.244   \n",
       "  2016-11-23   89200.765     85932.887                  1.743   175133.652   \n",
       "  2016-11-24   89200.765     86114.756                  1.751   175315.521   \n",
       "  2016-11-25   89200.765     87478.770                  1.753   176679.535   \n",
       "  2016-11-28   89200.765     87569.704                  1.767   176770.469   \n",
       "  2016-11-29   89200.765     87478.770                  1.768   176679.535   \n",
       "  2016-11-30   89200.765     86842.230                  1.767   176042.995   \n",
       "  2016-12-01   89200.765     87296.901                  1.760   176497.666   \n",
       "  \n",
       "              unit_net_value   units  \n",
       "  date                                \n",
       "  2005-01-04        1.000000  100000  \n",
       "  2005-01-05        1.000000  100000  \n",
       "  2005-01-06        1.000000  100000  \n",
       "  2005-01-07        1.000000  100000  \n",
       "  2005-01-10        1.000000  100000  \n",
       "  2005-01-11        1.000000  100000  \n",
       "  2005-01-12        1.000000  100000  \n",
       "  2005-01-13        1.000000  100000  \n",
       "  2005-01-14        1.000000  100000  \n",
       "  2005-01-17        1.000000  100000  \n",
       "  2005-01-18        1.000000  100000  \n",
       "  2005-01-19        1.000000  100000  \n",
       "  2005-01-20        1.000000  100000  \n",
       "  2005-01-21        1.000000  100000  \n",
       "  2005-01-24        1.000000  100000  \n",
       "  2005-01-25        1.000000  100000  \n",
       "  2005-01-26        1.000000  100000  \n",
       "  2005-01-27        1.000000  100000  \n",
       "  2005-01-28        1.000000  100000  \n",
       "  2005-01-31        1.000000  100000  \n",
       "  2005-02-01        1.000000  100000  \n",
       "  2005-02-02        1.000000  100000  \n",
       "  2005-02-03        1.000000  100000  \n",
       "  2005-02-04        1.000000  100000  \n",
       "  2005-02-16        1.000000  100000  \n",
       "  2005-02-17        1.000000  100000  \n",
       "  2005-02-18        1.000000  100000  \n",
       "  2005-02-21        1.000000  100000  \n",
       "  2005-02-22        1.000000  100000  \n",
       "  2005-02-23        1.000000  100000  \n",
       "  ...                    ...     ...  \n",
       "  2016-10-21        1.722238  100000  \n",
       "  2016-10-24        1.732240  100000  \n",
       "  2016-10-25        1.729512  100000  \n",
       "  2016-10-26        1.724056  100000  \n",
       "  2016-10-27        1.724966  100000  \n",
       "  2016-10-28        1.725875  100000  \n",
       "  2016-10-31        1.724056  100000  \n",
       "  2016-11-01        1.723147  100000  \n",
       "  2016-11-02        1.716781  100000  \n",
       "  2016-11-03        1.722238  100000  \n",
       "  2016-11-04        1.720419  100000  \n",
       "  2016-11-07        1.721328  100000  \n",
       "  2016-11-08        1.724056  100000  \n",
       "  2016-11-09        1.716781  100000  \n",
       "  2016-11-10        1.723147  100000  \n",
       "  2016-11-11        1.726784  100000  \n",
       "  2016-11-14        1.730422  100000  \n",
       "  2016-11-15        1.731331  100000  \n",
       "  2016-11-16        1.731331  100000  \n",
       "  2016-11-17        1.729512  100000  \n",
       "  2016-11-18        1.726784  100000  \n",
       "  2016-11-21        1.732240  100000  \n",
       "  2016-11-22        1.743152  100000  \n",
       "  2016-11-23        1.751337  100000  \n",
       "  2016-11-24        1.753155  100000  \n",
       "  2016-11-25        1.766795  100000  \n",
       "  2016-11-28        1.767705  100000  \n",
       "  2016-11-29        1.766795  100000  \n",
       "  2016-11-30        1.760430  100000  \n",
       "  2016-12-01        1.764977  100000  \n",
       "  \n",
       "  [2894 rows x 6 columns], 'stock_account':                   cash  dividend_receivable  market_value  total_value  \\\n",
       "  date                                                                     \n",
       "  2005-01-04  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-05  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-06  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-07  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-10  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-11  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-12  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-13  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-14  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-17  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-18  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-19  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-20  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-21  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-24  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-25  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-26  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-27  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-28  100000.000                    0         0.000   100000.000   \n",
       "  2005-01-31  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-01  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-02  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-03  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-04  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-16  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-17  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-18  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-21  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-22  100000.000                    0         0.000   100000.000   \n",
       "  2005-02-23  100000.000                    0         0.000   100000.000   \n",
       "  ...                ...                  ...           ...          ...   \n",
       "  2016-10-21   89200.765                    0     83022.990   172223.756   \n",
       "  2016-10-24   89200.765                    0     84023.267   173224.033   \n",
       "  2016-10-25   89200.765                    0     83750.465   172951.230   \n",
       "  2016-10-26   89200.765                    0     83204.859   172405.624   \n",
       "  2016-10-27   89200.765                    0     83295.793   172496.558   \n",
       "  2016-10-28   89200.765                    0     83386.727   172587.493   \n",
       "  2016-10-31   89200.765                    0     83204.859   172405.624   \n",
       "  2016-11-01   89200.765                    0     83113.925   172314.690   \n",
       "  2016-11-02   89200.765                    0     82477.385   171678.150   \n",
       "  2016-11-03   89200.765                    0     83022.990   172223.756   \n",
       "  2016-11-04   89200.765                    0     82841.122   172041.887   \n",
       "  2016-11-07   89200.765                    0     82932.056   172132.821   \n",
       "  2016-11-08   89200.765                    0     83204.859   172405.624   \n",
       "  2016-11-09   89200.765                    0     82477.385   171678.150   \n",
       "  2016-11-10   89200.765                    0     83113.925   172314.690   \n",
       "  2016-11-11   89200.765                    0     83477.662   172678.427   \n",
       "  2016-11-14   89200.765                    0     83841.399   173042.164   \n",
       "  2016-11-15   89200.765                    0     83932.333   173133.098   \n",
       "  2016-11-16   89200.765                    0     83932.333   173133.098   \n",
       "  2016-11-17   89200.765                    0     83750.465   172951.230   \n",
       "  2016-11-18   89200.765                    0     83477.662   172678.427   \n",
       "  2016-11-21   89200.765                    0     84023.267   173224.033   \n",
       "  2016-11-22   89200.765                    0     85114.479   174315.244   \n",
       "  2016-11-23   89200.765                    0     85932.887   175133.652   \n",
       "  2016-11-24   89200.765                    0     86114.756   175315.521   \n",
       "  2016-11-25   89200.765                    0     87478.770   176679.535   \n",
       "  2016-11-28   89200.765                    0     87569.704   176770.469   \n",
       "  2016-11-29   89200.765                    0     87478.770   176679.535   \n",
       "  2016-11-30   89200.765                    0     86842.230   176042.995   \n",
       "  2016-12-01   89200.765                    0     87296.901   176497.666   \n",
       "  \n",
       "              transaction_cost  \n",
       "  date                          \n",
       "  2005-01-04               0.0  \n",
       "  2005-01-05               0.0  \n",
       "  2005-01-06               0.0  \n",
       "  2005-01-07               0.0  \n",
       "  2005-01-10               0.0  \n",
       "  2005-01-11               0.0  \n",
       "  2005-01-12               0.0  \n",
       "  2005-01-13               0.0  \n",
       "  2005-01-14               0.0  \n",
       "  2005-01-17               0.0  \n",
       "  2005-01-18               0.0  \n",
       "  2005-01-19               0.0  \n",
       "  2005-01-20               0.0  \n",
       "  2005-01-21               0.0  \n",
       "  2005-01-24               0.0  \n",
       "  2005-01-25               0.0  \n",
       "  2005-01-26               0.0  \n",
       "  2005-01-27               0.0  \n",
       "  2005-01-28               0.0  \n",
       "  2005-01-31               0.0  \n",
       "  2005-02-01               0.0  \n",
       "  2005-02-02               0.0  \n",
       "  2005-02-03               0.0  \n",
       "  2005-02-04               0.0  \n",
       "  2005-02-16               0.0  \n",
       "  2005-02-17               0.0  \n",
       "  2005-02-18               0.0  \n",
       "  2005-02-21               0.0  \n",
       "  2005-02-22               0.0  \n",
       "  2005-02-23               0.0  \n",
       "  ...                      ...  \n",
       "  2016-10-21               0.0  \n",
       "  2016-10-24               0.0  \n",
       "  2016-10-25               0.0  \n",
       "  2016-10-26               0.0  \n",
       "  2016-10-27               0.0  \n",
       "  2016-10-28               0.0  \n",
       "  2016-10-31               0.0  \n",
       "  2016-11-01               0.0  \n",
       "  2016-11-02               0.0  \n",
       "  2016-11-03               0.0  \n",
       "  2016-11-04               0.0  \n",
       "  2016-11-07               0.0  \n",
       "  2016-11-08               0.0  \n",
       "  2016-11-09               0.0  \n",
       "  2016-11-10               0.0  \n",
       "  2016-11-11               0.0  \n",
       "  2016-11-14               0.0  \n",
       "  2016-11-15               0.0  \n",
       "  2016-11-16               0.0  \n",
       "  2016-11-17               0.0  \n",
       "  2016-11-18               0.0  \n",
       "  2016-11-21               0.0  \n",
       "  2016-11-22               0.0  \n",
       "  2016-11-23               0.0  \n",
       "  2016-11-24               0.0  \n",
       "  2016-11-25               0.0  \n",
       "  2016-11-28               0.0  \n",
       "  2016-11-29               0.0  \n",
       "  2016-11-30               0.0  \n",
       "  2016-12-01               0.0  \n",
       "  \n",
       "  [2894 rows x 5 columns], 'stock_positions':             avg_price  last_price  market_value order_book_id  quantity symbol\n",
       "  date                                                                          \n",
       "  2005-04-08      0.000        6.79         0.000   000001.XSHE     0.000   平安银行\n",
       "  2005-08-11      6.470        6.47     14881.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-12      6.470        6.20     14260.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-15      6.470        6.30     14490.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-16      6.470        6.15     14145.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-17      6.470        6.19     14237.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-18      6.470        6.02     13846.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-19      6.470        5.97     13731.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-22      6.470        6.04     13892.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-23      6.470        5.99     13777.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-24      6.470        6.03     13869.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-25      6.470        6.01     13823.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-26      6.470        6.15     14145.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-29      6.470        6.08     13984.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-30      6.470        6.13     14099.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-08-31      6.470        6.23     14329.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-01      6.470        6.29     14467.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-02      6.470        6.26     14398.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-05      6.470        6.31     14513.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-06      6.470        6.15     14145.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-07      6.470        6.21     14283.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-08      6.470        6.32     14536.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-09      6.470        6.25     14375.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-12      6.470        6.24     14352.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-13      6.470        6.33     14559.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-14      6.470        6.38     14674.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-15      6.470        6.28     14444.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-16      6.470        6.30     14490.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-19      6.470        6.28     14444.000   000001.XSHE  2300.000   平安银行\n",
       "  2005-09-20      6.470        6.14     14122.000   000001.XSHE  2300.000   平安银行\n",
       "  ...               ...         ...           ...           ...       ...    ...\n",
       "  2016-10-21      1.186        9.13     83022.990   000001.XSHE  9093.427   平安银行\n",
       "  2016-10-24      1.186        9.24     84023.267   000001.XSHE  9093.427   平安银行\n",
       "  2016-10-25      1.186        9.21     83750.465   000001.XSHE  9093.427   平安银行\n",
       "  2016-10-26      1.186        9.15     83204.859   000001.XSHE  9093.427   平安银行\n",
       "  2016-10-27      1.186        9.16     83295.793   000001.XSHE  9093.427   平安银行\n",
       "  2016-10-28      1.186        9.17     83386.727   000001.XSHE  9093.427   平安银行\n",
       "  2016-10-31      1.186        9.15     83204.859   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-01      1.186        9.14     83113.925   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-02      1.186        9.07     82477.385   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-03      1.186        9.13     83022.990   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-04      1.186        9.11     82841.122   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-07      1.186        9.12     82932.056   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-08      1.186        9.15     83204.859   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-09      1.186        9.07     82477.385   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-10      1.186        9.14     83113.925   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-11      1.186        9.18     83477.662   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-14      1.186        9.22     83841.399   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-15      1.186        9.23     83932.333   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-16      1.186        9.23     83932.333   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-17      1.186        9.21     83750.465   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-18      1.186        9.18     83477.662   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-21      1.186        9.24     84023.267   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-22      1.186        9.36     85114.479   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-23      1.186        9.45     85932.887   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-24      1.186        9.47     86114.756   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-25      1.186        9.62     87478.770   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-28      1.186        9.63     87569.704   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-29      1.186        9.62     87478.770   000001.XSHE  9093.427   平安银行\n",
       "  2016-11-30      1.186        9.55     86842.230   000001.XSHE  9093.427   平安银行\n",
       "  2016-12-01      1.186        9.60     87296.901   000001.XSHE  9093.427   平安银行\n",
       "  \n",
       "  [2750 rows x 6 columns], 'summary': {'alpha': -0.03,\n",
       "   'annualized_returns': 0.049,\n",
       "   'benchmark': '000300.XSHG',\n",
       "   'benchmark_annualized_returns': 0.114,\n",
       "   'benchmark_total_returns': 2.608,\n",
       "   'beta': 0.408,\n",
       "   'cash': 89200.765,\n",
       "   'downside_risk': 0.143,\n",
       "   'end_date': '2016-12-01',\n",
       "   'future_starting_cash': 0,\n",
       "   'information_ratio': -0.421,\n",
       "   'max_drawdown': 0.456,\n",
       "   'run_type': 'BACKTEST',\n",
       "   'sharpe': 0.058,\n",
       "   'sortino': 0.068,\n",
       "   'start_date': '2005-01-04',\n",
       "   'stock_starting_cash': 100000,\n",
       "   'strategy_file': 'strategy.py',\n",
       "   'strategy_name': 'strategy',\n",
       "   'total_returns': 0.765,\n",
       "   'total_value': 176497.666,\n",
       "   'tracking_error': 0.208,\n",
       "   'unit_net_value': 1.765,\n",
       "   'units': 100000,\n",
       "   'volatility': 0.168}, 'trades':                      commission     exec_id  last_price  last_quantity  \\\n",
       "  datetime                                                                 \n",
       "  2005-08-11 15:00:00     11.9048  1496471611        6.47           2300   \n",
       "  \n",
       "                      order_book_id    order_id position_effect side symbol  \\\n",
       "  datetime                                                                    \n",
       "  2005-08-11 15:00:00   000001.XSHE  1496471616            None  BUY   平安银行   \n",
       "  \n",
       "                       tax     trading_datetime  transaction_cost  \n",
       "  datetime                                                         \n",
       "  2005-08-11 15:00:00    0  2005-08-11 15:00:00           11.9048  }}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#coding=utf-8\n",
    "# run_code_demo\n",
    "from rqalpha import run_code\n",
    "\n",
    "code = \"\"\"\n",
    "import rqalpha\n",
    "from rqalpha.api import *\n",
    "import talib as ta\n",
    "import os\n",
    "import pandas as pd\n",
    "\n",
    "def init(context):\n",
    "    update_universe('000001.XSHE')\n",
    "    context.s1 = \"000001.XSHE\"\n",
    "    context.UPPERIOD = 30\n",
    "    context.DOWNPERIOD = 20\n",
    "    context.stoplossmultipler= 0.6 #止损 乘数\n",
    "    context.takepofitmultipler= 3 #止盈 乘数\n",
    "    context.max = {}\n",
    "    context.max_atr = {}\n",
    "\n",
    "\n",
    "def handle_bar(context, bar_dict):\n",
    "    entry_exit(context, bar_dict)\n",
    "    #stop_loss(context, bar_dict)\n",
    "\n",
    "\n",
    "def stop_loss(context,bar_dict):\n",
    "    for stock in context.portfolio.positions:\n",
    "        if bar_dict[stock].last<context.portfolio.positions[stock].avg_price*context.stoplossmultipler:# 现价低于 原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "        elif bar_dict[stock].last>context.portfolio.positions[stock].avg_price*context.takepofitmultipler:# 现价高于原价一定比例\n",
    "            order_target_percent(stock,0)\n",
    "\n",
    "\n",
    "def entry_exit(context, bar_dict):\n",
    "    prices = history_bars(context.s1, context.UPPERIOD+2, '1d', 'close')\n",
    "    high = history_bars(context.s1, context.UPPERIOD+2, '1d', 'high')\n",
    "    low = history_bars(context.s1, context.DOWNPERIOD+2, '1d', 'low')\n",
    "\n",
    "    if len(prices) > 11:\n",
    "        upperband = ta.MAX(high, context.UPPERIOD)\n",
    "        lowerband = ta.MIN(low, context.DOWNPERIOD)\n",
    "\n",
    "\n",
    "        plot(\"up\", upperband[-2])\n",
    "        plot(\"mid\", lowerband[-2])\n",
    "        plot('close', prices[-2])\n",
    "\n",
    "        cur_position = context.portfolio.positions[context.s1].quantity\n",
    "        shares = context.portfolio.cash/bar_dict[context.s1].close\n",
    "\n",
    "        if bar_dict[context.s1].last < lowerband[-2] and prices[-2] > lowerband[-2] and cur_position > 0:\n",
    "            order_shares(context.s1, 0)\n",
    "        if bar_dict[context.s1].last > upperband[-2] and prices[-2] < upperband[-2] and cur_position == 0:\n",
    "            order_target_value(context.s1, shares)\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2000-06-01\",\n",
    "    \"end_date\": \"2016-12-01\",\n",
    "    \"securities\": ['stock'],\n",
    "    \"stock_starting_cash\": 100000,\n",
    "    \"benchmark\": \"000300.XSHG\"\n",
    "#     \"strategy_file_path\": os.path.abspath(__file__)\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"verbose\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True\n",
    "    }\n",
    "  }\n",
    "}\n",
    "\n",
    "# 您可以指定您要传递的参数\n",
    "run_code(code, config)"
   ]
  }
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